# northamerica_usa_va010 - Hemlock Cove - Sunset Field - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# NOTE: Please cite Publication, and Online_Resource and date accessed when using these data.
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed.
#
#
# Online_Resource:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2980
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_va010 - Hemlock Cove - Sunset Field - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
#------------------
# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: Hemlock Cove - Sunset Field
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.5
#	Southernmost_Latitude: 37.5
#	Easternmost_Longitude: -79.52
#	Westernmost_Longitude: -79.52
#	Elevation: 1000 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_va010B
#	Earliest_Year: 1676
#	Most_Recent_Year: 1982
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.19152145285","T2":"16.3631539254","M1":"0.0222911388807","M2":"0.361641208586"}}
#--------------------
# Species
#	Species_Name: eastern hemlock
#	Species_Code: TSCA
#--------------------
# Chronology:
#
#
#
#--------------------
# Variables
#
# Data variables follow that are preceded by ## in columns one and two.
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1676	1.135
1677	0.957
1678	1.005
1679	0.983
1680	0.876
1681	0.784
1682	0.913
1683	0.953
1684	1.124
1685	1.184
1686	1.192
1687	1.021
1688	0.87
1689	0.958
1690	1.031
1691	1.15
1692	1.092
1693	1.323
1694	0.744
1695	0.959
1696	0.913
1697	0.663
1698	0.366
1699	0.497
1700	0.65
1701	1.02
1702	1.064
1703	1.16
1704	1.273
1705	1.322
1706	1.173
1707	0.993
1708	1.038
1709	0.72
1710	0.983
1711	0.797
1712	1.054
1713	0.914
1714	0.819
1715	0.539
1716	0.684
1717	0.787
1718	0.996
1719	0.85
1720	0.886
1721	0.943
1722	1.1
1723	0.955
1724	1.017
1725	1.256
1726	1.208
1727	0.912
1728	0.867
1729	1.056
1730	1.028
1731	1.214
1732	0.981
1733	0.838
1734	0.631
1735	0.819
1736	1.083
1737	0.843
1738	0.936
1739	0.977
1740	1.098
1741	0.889
1742	1.096
1743	1.041
1744	1.397
1745	1.381
1746	1.264
1747	1.221
1748	1.002
1749	0.906
1750	1.259
1751	1.114
1752	1.358
1753	1.061
1754	1.035
1755	1.182
1756	1.255
1757	1.159
1758	1.192
1759	1.118
1760	0.995
1761	1.097
1762	1.42
1763	1.293
1764	1.064
1765	0.954
1766	0.879
1767	0.921
1768	0.905
1769	0.91
1770	0.693
1771	0.68
1772	0.953
1773	1.195
1774	0.71
1775	0.331
1776	1.116
1777	1.362
1778	1.292
1779	1.235
1780	1.055
1781	1.23
1782	1.14
1783	1.084
1784	0.988
1785	0.982
1786	0.949
1787	0.882
1788	1.047
1789	1.308
1790	1.034
1791	0.938
1792	0.799
1793	0.968
1794	0.913
1795	0.948
1796	1.154
1797	1.029
1798	0.869
1799	1.143
1800	1.356
1801	1.515
1802	1.354
1803	1.183
1804	1.141
1805	0.774
1806	0.946
1807	1.129
1808	1.281
1809	0.981
1810	0.912
1811	0.848
1812	1.089
1813	0.913
1814	0.919
1815	1.453
1816	1.357
1817	1.295
1818	1.409
1819	0.773
1820	0.621
1821	0.712
1822	1.197
1823	1.351
1824	0.959
1825	1.271
1826	0.926
1827	1.036
1828	0.824
1829	1.093
1830	0.844
1831	0.655
1832	1.193
1833	1.242
1834	1.407
1835	1.055
1836	0.825
1837	0.86
1838	0.906
1839	0.452
1840	0.549
1841	0.802
1842	0.542
1843	0.915
1844	0.925
1845	0.849
1846	0.764
1847	0.894
1848	0.857
1849	0.751
1850	0.664
1851	0.54
1852	0.788
1853	0.831
1854	0.973
1855	0.793
1856	0.77
1857	1.034
1858	1.142
1859	1.013
1860	0.926
1861	0.864
1862	0.831
1863	0.706
1864	0.844
1865	0.487
1866	0.575
1867	0.519
1868	0.705
1869	0.752
1870	0.641
1871	0.541
1872	0.596
1873	0.736
1874	0.901
1875	0.628
1876	0.534
1877	0.879
1878	0.91
1879	1.113
1880	0.862
1881	1.024
1882	0.71
1883	0.938
1884	0.598
1885	0.938
1886	0.728
1887	1.112
1888	0.863
1889	0.907
1890	0.954
1891	0.758
1892	1.032
1893	1.111
1894	0.76
1895	0.619
1896	0.512
1897	0.71
1898	0.384
1899	0.45
1900	0.841
1901	0.973
1902	1.052
1903	0.813
1904	1.312
1905	1.345
1906	1.217
1907	0.767
1908	1.307
1909	1.25
1910	1.126
1911	1.273
1912	0.675
1913	1.127
1914	0.911
1915	0.77
1916	1.015
1917	1.053
1918	1.004
1919	1.092
1920	1.398
1921	1.186
1922	0.85
1923	1.157
1924	0.692
1925	1.001
1926	0.514
1927	0.723
1928	1.497
1929	1.297
1930	0.966
1931	0.931
1932	0.908
1933	0.957
1934	0.98
1935	0.798
1936	0.665
1937	0.459
1938	0.702
1939	1.266
1940	0.866
1941	0.945
1942	0.87
1943	1.2
1944	1.036
1945	0.977
1946	1.095
1947	1.299
1948	1.289
1949	1.294
1950	1.615
1951	2.028
1952	0.694
1953	1.016
1954	1.092
1955	1.057
1956	1.308
1957	0.864
1958	0.79
1959	1.002
1960	0.833
1961	1.372
1962	1.083
1963	1.213
1964	1.035
1965	0.761
1966	1.082
1967	0.712
1968	1.028
1969	0.841
1970	0.888
1971	1.097
1972	0.567
1973	1.27
1974	0.961
1975	1.361
1976	0.799
1977	1.039
1978	1.279
1979	0.816
1980	1.314
1981	1.106
1982	1.112